DICOM ingestion & routing
Receive, validate, normalize, and route studies across sites, modalities, cloud storage, PACS, and research environments.
DICOM · DICOMweb · AzureHealthcare AI & imaging
Make every image easier to move, read, and act on.
Pedington designs secure medical-imaging workflows and AI-assisted tools that help radiology teams manage complexity—while keeping clinicians responsible for every patient decision.
Built around the reading workflowDICOM · PACS · RIS · HL7/FHIR
Clinical oversightAI supports qualified clinicians; it does not replace diagnosis.
Privacy by designDe-identification, least-privilege access, and auditable data handling.
Evidence before scaleRepresentative validation, monitoring, and controlled deployment.
Radiology use cases
From image movement to clinical insight.
Modular capabilities can support a focused pilot or a broader imaging platform.
De-identification pipelines
Remove or transform patient identifiers from image headers and pixels to prepare governed datasets for research and model development.
PHI controls · Audit trailIntelligent worklists
Bring operational and model signals into a unified view to support triage, assignment, protocoling, and turnaround-time visibility.
RIS · HL7/FHIR · APIsStudy summarization
Organize prior-study context, measurements, and relevant patient information for clinician review before and during interpretation.
Longitudinal context · NLPCancer imaging decision support
Develop and evaluate clinician-reviewed models for candidate lesion flagging, segmentation, response tracking, and research prioritization.
CT · MRI · MammographyQuality & operations analytics
Monitor data quality, workflow bottlenecks, model drift, reading patterns, and operational outcomes without exposing unnecessary PHI.
Dashboards · MonitoringReference flow
Designed to work with the systems you already have.
A secure integration layer connects imaging sources and clinical systems to governed data services and carefully validated AI capabilities.
Imaging sourcesCT · MRI · X-ray · Mammography
→Secure imaging layerDICOM · De-ID · Routing
→Clinical & AI servicesPACS/RIS · FHIR · Models
→Clinician workflowReview · Decide · Document
Responsible deployment
Clinical value depends on more than model accuracy.
Intended use firstDefine users, patient population, workflow, and decision boundaries before selecting a model.
Representative validationEvaluate across modalities, scanners, sites, demographics, and real operational conditions.
Human reviewKeep qualified professionals in control with explainable outputs and clear escalation paths.
Ongoing monitoringTrack performance, drift, failures, and workflow outcomes after deployment.
Start with one workflow